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MSc in Computing - Data Science (classroom/online)

University of Zagreb, Faculty of Electrical Engineering and Computing (FER)
2 years
Full time
Master's degree
Scholarships available
Blended learning
Zagreb
English
Fall

Program description

MSc in Computing, profile Data Science (classroom/online)

The modern world is characterized by exponential growth in the amount of data captured from various data sources. Collection, storage, and processing of data are central elements of present-day commerce and science, with rapid adoption in areas ranging from business analytics and marketing to computer vision and natural language processing. They all rely on advanced algorithms, models, computing methods, and efficient and scalable computer systems - all encompassed under the Computing master study programme.

Data science combines computer science and statistics in order to uncover meaningful information from data, ultimately producing new knowledge and value in a digitized and globalized economy. With the rising amounts of data being generated and collected each day, data scientists are becoming increasingly important in both industry and academia. The Data science profile provides students with strong foundations in mathematics, statistical modeling, machine learning, and other knowledge enabling them to develop data science solutions for a large range of applications, solve advanced engineering problems, conduct research and development, and act as leaders in the current digital revolution.

High emphasis is placed on practical skills and early career development during the study. The study programme also facilitates the development of soft engineering skills through the set of transversal courses, which complement engineering education with an additional set of skills that are necessary to form an engineer as a complete person.

How will your study look like in practice?

In our study programme MSc in Data Science at FER, you will gain strong foundations in mathematics and statistics courses that are prerequisites for a deep understanding of the nature of data and strategies for data analysis. Our lecturers and researchers work in a wide range of exciting areas, so you will have the opportunity to learn more about domain-specific applications through numerous elective courses, seminars, and projects.

Are you curious about how machines can understand human language? The researchers at Text Analysis and Knowledge Engineering Lab (TakeLab) are committed to state-of-the-art natural language processing and text analysis research. Want to know is really "six degrees of separation" between you and anyone in the world? The Social Networking and Computing Laboratory (SocialLab) research group seeks answers to that and other questions regarding social networks and online human social behavior. If learning how computers can learn to detect objects in images is more your cup of tea - the Image Processing Group develops computer vision methods for biomedical images in order to improve diagnostic processes. Intrigued by challenges brought on by Big Data? Our StreamsLab will introduce you to leading Big Data platforms and technologies. And if you are interested in bioinformatics, the Laboratory for Bioinformatics and Computational Biology (LBCB) will gladly show you their state-of-the-art genome assembly algorithms. For those more attracted to finance, the researchers at the Laboratory for Financial and Risk Analytics (LAFRA) teach machines to understand financial markets and risk. These are just some of the research laboratories and groups you can get involved in, with an opportunity to participate in a number of data science-related EU-funded research projects as well as industrial projects.

Admission requirements

To meet the entry requirements for master's level studies, all students must fulfill the following requirements:

  • General requirement: A successfully completed an appropriate bachelor or integrated study with a workload equivalent to that of 180 ECTS or higher
  • English language requirement: Documented proficiency in English

Please visit the programme's website for further information about entry requirements.


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Program content

1st semester:

  • Statistical Data Analysis
  • Introduction to Data Science
  • Fundamentals of Signal Processing
  • Machine Learning 1
  • Elective course
  • Seminar 1
  • Transversal course

2nd semester:

  • Multivariate Data Analysis
  • Seminar 2
  • Elective courses of the Profile
  • Elective course
  • Transversal course

3rd semester:

  • Advanced Algorithms and Data Structures
  • Project
  • Elective courses of the Profile
  • Elective course
  • Transversal course

4th semester:

  • Diploma thesis

Please contact the institution for further information about the courses.

Scholarships & funding

Scholarships are currently not available.

Tuition fees

  • The annual tuition fee for our master study programmes is 45,000 HRK (approximately 6,000 EUR). Annual tuition fees include 60 ECTS credits
  • Courses that students repeat or take on top of 60 ECTS credits are additionally charged

Qualification

  • ECTS points: 120
  • Qualification awarded: Master of Science in Computing



Career opportunities

FER alumni are highly appreciated professionals not only in Croatia but also in high-tech companies in different sectors worldwide. FER actively cooperates with more than 450 companies, including some of the most significant high-tech companies from Croatia but also all over the world. Both students and companies benefit from this network that provides an opportunity to connect the best matching talents with industry needs even before students finish their studies.

As a data science professional, you will become an engineer with high-level technical skills, who is capable of building complex quantitative algorithms in order to organize and analyze large amounts of information in numerous application areas. Graduated engineers are in high demand for industry positions such as data scientist, machine-learning scientist, data analyst, data engineer, business analyst, and computer system analyst.

Students are offered early career guidance through the services of Career Centre, which helps students to connect with employers through the organization of various networking events, such as Job Fair and Career Speed Dating.

Students are highly encouraged to participate in an internship programme to gain a competitive edge on the labor market while still studying.

As a Faculty with traditionally highly appreciated research components on an international level, students can also take a part in more than 250 international and national R&D projects, both scientific research and industry collaboration projects, that run at FER every year.

For students with startup aspirations, a student-friendly startup incubator SPOCK is the right place to visit and explore new horizons.

Contact school

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About this institute

The University of Zagreb, Faculty of Electrical Engineering and Computing (FER)

Faculty of Electrical Engineering and Computing of the University of Zagreb (Croatian acronym: FER) is a leading higher education and research institution in the Republic of Croatia in the area of electrical engineering, computing, and information and communication technology. As...


Read more about this school

Why study at University of Zagreb, Faculty of Electrical Engineering and Computing (FER)

Explore, invent, be yourself!

FER hosts more than 250 international and national R&D projects, both scientific research and industry collaboration projects.

You can join students working on autonomous systems and mobile robotics in the Laboratory for Autonomous Systems and Mobile Robotics (LAMOR) or make your own USV (unmanned surface vehicles) and underwater drones by joining the project in the Laboratory for Underwater Systems and Technologies (LABUST).

If you feel more attracted to flying drones, we have plenty of opportunities on various projects hosted by the Laboratory for Robotics and Intelligent Control Systems (LARICS).

Did you know that world's fasted silicon bipolar transistor HCBT was invented at FER-MINEL (Micro & Nano Electronics Lab)?

You can develop your AI and Machine Learning skills and knowledge by joining many groups and labs in FER's Centre of Artificial Intelligence, by focusing on specific fields such as natural language processing, Fintech, bioinformatics, social networking, image processing, and many more.

A large pool of inventive tech companies for internships

Are you passionate about the automotive industry? Would you like to get a taste of what the engineering of one of the fastest electric hypercars and cutting-edge EV technology in Rimac Automobili looks like? Or get involved in the development of cutting-edge AI-powered robots by joining the passionate Croatian team Gideon Brothers that makes new and exciting robot designs?

If you want to develop AI that helps millions of children to boost their math skills, become a part of the Photomath development team in Zagreb, best in the class App Store app, that has 220M+ downloads already and more than 2,700,000,000 math problems solved and explained.

Or be part of Croteam helping them to launch a new release of Serious Sam, Scum or Talos Principle franchise? On top of that, did you know that Infobip, the first Croatian unicorn company, was founded by FER alumni?

You can do all that, and much more if you consider participating FER summer internship programme in more than 250 Croatian companies!

Contact info

University of Zagreb, Faculty of Electrical Engineering and Computing (FER)

Unska ul. 3
10000 Zagreb
Croatia

 Show phone number
www.fer.unizg.hr

Contact school

Want to know more about MSc in Computing - Data Science (classroom/online)? Fill out the following form and we'll pass your details on to a representative from the school, who will respond to your enquiry.

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